Computer Vision with Deep Learning

Object tracking techniques: optical flow, meanshift, camshift, and multi-object tracking in video.

1. 1Object Tracking with OpenCV Part 1Free
2. 2Object Tracking with OpenCV Part 2
3. 3Object Tracking with OpenCV Part 3

Introduction to deep learning for computer vision: from fully connected to convolutional layers, and feature learning concepts.

1. 1Intro to DL for CV Part 1Free
2. 2Intro to DL for CV Part 2
3. 3Intro to DL for CV Part 3

Gradient descent in depth, MNIST digit classification, and building your first CNN model with Keras.

1. 1Gradient Descent, MNIST, Keras Part 1Free
2. 2Gradient Descent, MNIST, Keras Part 2
3. 3Gradient Descent, MNIST, Keras Part 3
4. 4Gradient Descent, MNIST, Keras Part 4

Advanced CNN: popular architectures, training with custom datasets, and real-time object detection using YOLO.

1. 1CNN, Custom Images, YOLO Part 1Free
2. 2CNN, Custom Images, YOLO Part 2
3. 3CNN, Custom Images, YOLO Part 3
4. 4CNN, Custom Images, YOLO Part 4

Exercises and CV deep learning portfolio project: build an end-to-end computer vision system with CNN and YOLO.

1. 1Exercise and Project Portfolio 14